Driving innovation with AI and Cloud: Expert insights
- By | | |
- May 01 2025
- Duration 3:12
In the rapidly evolving healthcare landscape, Cloud technology is emerging as a critical enabler for innovation and efficiency. However, this transition is not without its challenges, particularly when it comes to security, governance, and regulatory compliance. In a recent interview with experts, we explored cloud adoption, the barriers healthcare organizations face, and how these challenges are being addressed. For healthcare leaders and IT decision-makers, understanding these nuances is essential for ensuring the successful and secure implementation of cloud technologies.
At-a-glance:
- Maintaining robust cybersecurity, data privacy, and meeting regulatory compliance standards are key considerations in cloud adoption for healthcare.
- Hybrid cloud transition over time, balancing security and scalability.
- The complexities of varying regional regulations, such as GDPR, present obstacles to seamless cloud adoption across healthcare systems globally.
- The integration of AI tools in healthcare is directly tied to the scalability and accessibility of cloud-based platforms.
Cloud technology is quickly becoming a game-changer for healthcare, offering scalable and secure storage solutions that address the growing need for data accessibility. With the sheer volume of imaging data generated in radiology departments, cloud platforms provide an efficient and cost-effective way to store and manage this information
As the healthcare sector increasingly looks towards cloud technology, one of the primary concerns that arise is cybersecurity. The security of sensitive patient data in the cloud remains a hot topic, especially with rising instances of cyberattacks across various industries. With healthcare data breaches at an all-time high, costing an average of $11 million per breach in 2023, securing patient data is critical.
In the next few years, cloud technology will offer more scalable
storage solutions, improving accessibility and security. This is
crucial for implementing AI tools - cloud will become a necessity,
not just an option.
While a gradual shift towards cloud systems will likely occur, with hybrid models combining on-premises and cloud infrastructures, the long-term future is expected to be fully cloud-based. This transition brings significant opportunities, such as cost savings on energy expenses currently incurred by traditional data centers, alongside enhanced scalability. As cloud technology expands, healthcare organizations must not only implement robust security measures but also navigate the complexities of varying regional regulations, such as the stringent GDPR in Europe. These regulatory discrepancies pose a significant barrier to the seamless adoption of cloud technology across different healthcare jurisdictions.
Cloud technology is transformative but concerns around cybersecurity and GDPR are major worries. We’ll likely see a gradual shift to cloud, starting with a combination of on-premises and cloud, until cloud becomes the standard.
As healthcare becomes more interconnected globally, the need for a unified approach to data governance is more pressing than ever. Despite these hurdles, the potential of cloud computing to support artificial intelligence (AI) in healthcare is undeniable. The ability to store and process vast amounts of data securely is fundamental for AI applications that can significantly enhance clinical decision-making. Furthermore, cloud technology can provide scalable solutions that will enable healthcare organizations to leverage AI tools effectively. By consolidating patient data in a secure cloud environment, unnecessary repeat imaging tests can be minimized, ultimately reducing healthcare costs and patient anxiety. Although data security concerns must be continuously addressed, the trajectory is clear: cloud technology is not just an option for healthcare- it’s a necessity. The future of healthcare innovation hinges on the seamless integration of secure, scalable cloud systems that enable the adoption of cutting-edge technologies like AI.
